tf.keras.ops.glu
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Gated Linear Unit (GLU) activation function.
tf.keras.ops.glu(
x, axis=-1
)
It is defined as:
f(x) = a * sigmoid(b)
where x is split into a and b along the given axis.
Args |
|---|
x
|
Input tensor.
|
axis
|
The axis along which to split the input tensor. Defaults to -1.
|
Returns |
|---|
|
A tensor with the same shape as half of the input.
|
Example:
x = np.array([-1., 0., 1. , 1.])
x_glu = keras.ops.glu(x)
print(x_glu)
array([-0.73105858, 0. ], shape=(2,), dtype=float64)
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Last updated 2026-10-31 UTC.
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View source on GitHub